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» Learning to learn with the informative vector machine
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ICASSP
2011
IEEE
13 years 1 months ago
A partial least squares framework for speaker recognition
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
Balaji Vasan Srinivasan, Dmitry N. Zotkin, Ramani ...
MLDM
2005
Springer
14 years 2 months ago
Multivariate Discretization by Recursive Supervised Bipartition of Graph
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
Sylvain Ferrandiz, Marc Boullé
WEBI
2007
Springer
14 years 3 months ago
Knowledge Retrieval (KR)
With the ever-increasing growth of data and information, finding the right knowledge becomes a real challenge and an urgent task. Traditional data and information retrieval syste...
Yiyu Yao, Yi Zeng, Ning Zhong, Xiangji Huang
ICCSA
2005
Springer
14 years 2 months ago
Semantic Annotation of Biomedical Literature Using Google
With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical informa...
Rune Sætre, Amund Tveit, Tonje Strommen Stei...
IJCNLP
2004
Springer
14 years 2 months ago
Word Folding: Taking the Snapshot of Words Instead of the Whole
The snapshot of a word means the most informative fragment of the word. By taking the snapshot instead of the whole, the value space of the lexical feature can be significantly r...
Jin-Dong Kim, Jun-ichi Tsujii